A sub-optimal consensus design for multi-agent systems based on hierarchical LQR

Research output: Contribution to journalArticle

34 Citations (Scopus)

Abstract

This paper presents a new and systematic procedure to design sub-optimal hierarchical feedback controllers for the leader-follower consensus problem in homogeneous multi-agent systems. First, the given multi-agent system is treated as a two-layer hierarchical system where the agents perform local actions in the lower layer and interact with others in the upper layer to achieve some global goals. Then the consensus controller design is formulated as a hierarchical state feedback control problem. Employing LQR approach with an appropriately selected performance index, an optimal hierarchical state feedback controller is derived which includes two terms namely local and global terms. Consequently, by removing the local term, the remaining global term is proved to make the multi-agent system consensus which results in a sub-optimal hierarchical consensus controller. Finally, some numerical examples are introduced to illustrate the effectiveness of the proposed method.

Original languageEnglish
Pages (from-to)88-94
Number of pages7
JournalAutomatica
Volume55
DOIs
Publication statusPublished - May 1 2015
Externally publishedYes

Fingerprint

Multi agent systems
Controllers
State feedback
Hierarchical systems
Feedback control
Feedback
Optimal design

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Cite this

A sub-optimal consensus design for multi-agent systems based on hierarchical LQR. / Nguyen, Dinh Hoa.

In: Automatica, Vol. 55, 01.05.2015, p. 88-94.

Research output: Contribution to journalArticle

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